using Autonomous Objects
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In analogy to conventional processes e.g. in the logistics domain, autonomous processes are in need of knowledge to perform their task. Data, information, and knowledge are the key resources which ensure the quality of such a process. Knowledge management is required to support autonomous processes by context-sensitive provision of knowledge. Furthermore, it has to be considered, that actors in these processes act in a competitive way. Consequently, information and knowledge should be treated as tradable goods which potentially have a high utility for their consumers.
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Autonomy can be realized by the application of intelligent agents and multiagent systems. Since distributed processes originating from mutually independent decision makers (enterprises) interact in a highly dynamic environment, new requirements for information technology emerge.
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Observing activities require a robust and reliable information infrastructure which cannot be sufficiently guaranteed by traditional multiagent systems. We therefore aim at creation of an explicit risk management for multiagent systems. This explicit modeling and a subsequent mechanism for resolution of risk-induced conflicts enable the necessary robustness and reliability in multiagent systems for the automation of logistic processes.
